Optimisation of repair and maintenance costs for electrical equipment in agricultural enterprises

Application of mathematical methods of cost optimization for repair and maintenance of electrical equipment of agro-industrial enterprises is one of the important and promising directions for increasing the efficiency of electrical equipment operation management in agriculture. Mathematical programm...

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Autores principales: Zhdanov Valery, Logacheva Elena, Yarosh Viktor, Ivashina Alexander
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FR
Publicado: EDP Sciences 2021
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spelling oai:doaj.org-article:32154adad18f4fac9ba74c03ccc3a5772021-11-08T15:17:30ZOptimisation of repair and maintenance costs for electrical equipment in agricultural enterprises2117-445810.1051/bioconf/20213700103https://doaj.org/article/32154adad18f4fac9ba74c03ccc3a5772021-01-01T00:00:00Zhttps://www.bio-conferences.org/articles/bioconf/pdf/2021/09/bioconf_fies2021_00103.pdfhttps://doaj.org/toc/2117-4458Application of mathematical methods of cost optimization for repair and maintenance of electrical equipment of agro-industrial enterprises is one of the important and promising directions for increasing the efficiency of electrical equipment operation management in agriculture. Mathematical programming systems use graphical and related attributive information in solving optimization problems. As graphical information in these systems we used maps, plans, diagrams, schedules of preventive measures from which the list of equipment for certain types of repair and maintenance, their labor intensity for individual objects, types of equipment and in total for the enterprise are established. Databases of electrical equipment are used as attributive information to describe electrical equipment of agro-industrial enterprises. Due to joint processing of graphical and attributive information in optimization systems, all stages of work with spatial data are more operative. Beginning from spatial data search, selection and analysis we can make a specific decision during the operation control of electrical equipment. This article considers maintenance and repair operation (MR) as a task of mathematical programming with cost optimization and deals with three approaches to the organization of this task. The expediency of using each method of solution is analyzed. The structural schemes, equations describing mathematical models, advantages and disadvantages of the presented models are given. We marked prospect of using linear programming programs for the decision of the given optimization problem by means of the inverse matrix method, i.e. the modified simplex method and computing algorithm with a standard sequence of operations.Zhdanov ValeryLogacheva ElenaYarosh ViktorIvashina AlexanderEDP SciencesarticleMicrobiologyQR1-502PhysiologyQP1-981ZoologyQL1-991ENFRBIO Web of Conferences, Vol 37, p 00103 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic Microbiology
QR1-502
Physiology
QP1-981
Zoology
QL1-991
spellingShingle Microbiology
QR1-502
Physiology
QP1-981
Zoology
QL1-991
Zhdanov Valery
Logacheva Elena
Yarosh Viktor
Ivashina Alexander
Optimisation of repair and maintenance costs for electrical equipment in agricultural enterprises
description Application of mathematical methods of cost optimization for repair and maintenance of electrical equipment of agro-industrial enterprises is one of the important and promising directions for increasing the efficiency of electrical equipment operation management in agriculture. Mathematical programming systems use graphical and related attributive information in solving optimization problems. As graphical information in these systems we used maps, plans, diagrams, schedules of preventive measures from which the list of equipment for certain types of repair and maintenance, their labor intensity for individual objects, types of equipment and in total for the enterprise are established. Databases of electrical equipment are used as attributive information to describe electrical equipment of agro-industrial enterprises. Due to joint processing of graphical and attributive information in optimization systems, all stages of work with spatial data are more operative. Beginning from spatial data search, selection and analysis we can make a specific decision during the operation control of electrical equipment. This article considers maintenance and repair operation (MR) as a task of mathematical programming with cost optimization and deals with three approaches to the organization of this task. The expediency of using each method of solution is analyzed. The structural schemes, equations describing mathematical models, advantages and disadvantages of the presented models are given. We marked prospect of using linear programming programs for the decision of the given optimization problem by means of the inverse matrix method, i.e. the modified simplex method and computing algorithm with a standard sequence of operations.
format article
author Zhdanov Valery
Logacheva Elena
Yarosh Viktor
Ivashina Alexander
author_facet Zhdanov Valery
Logacheva Elena
Yarosh Viktor
Ivashina Alexander
author_sort Zhdanov Valery
title Optimisation of repair and maintenance costs for electrical equipment in agricultural enterprises
title_short Optimisation of repair and maintenance costs for electrical equipment in agricultural enterprises
title_full Optimisation of repair and maintenance costs for electrical equipment in agricultural enterprises
title_fullStr Optimisation of repair and maintenance costs for electrical equipment in agricultural enterprises
title_full_unstemmed Optimisation of repair and maintenance costs for electrical equipment in agricultural enterprises
title_sort optimisation of repair and maintenance costs for electrical equipment in agricultural enterprises
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/32154adad18f4fac9ba74c03ccc3a577
work_keys_str_mv AT zhdanovvalery optimisationofrepairandmaintenancecostsforelectricalequipmentinagriculturalenterprises
AT logachevaelena optimisationofrepairandmaintenancecostsforelectricalequipmentinagriculturalenterprises
AT yaroshviktor optimisationofrepairandmaintenancecostsforelectricalequipmentinagriculturalenterprises
AT ivashinaalexander optimisationofrepairandmaintenancecostsforelectricalequipmentinagriculturalenterprises
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